Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
On the eve of the Civil War, Scott County farmer James M. Stone owned twenty-three enslaved people, farmed 137 acres of improved land along South Elkhorn Creek, and was one of the most prosperous farmers in the county. By 1867, his industrial distillery produced about thirty barrels of whiskey per week. He entered into a business partnership with James H. Shropshire, who assisted with management and provided some of the capital for expansion. Stone made extensive modifications to his works to comply with the new federal requirements imposed by the 1868 revenue law, including building a state-of-the-art stack-type warehouse of brick, with a metal roof and iron window shutters. Cooper Adam Michaels made barrels for Elkhorn and other distilleries. Elkhorn’s transport connections for grain, construction materials, fuel, and whiskey were unimproved roads and a track-side depot on the railroad some two and a half miles distant. Logistics proved to be problematic for the duration of Elkhorn’s operations. Elkhorn consumed more grain than was produced locally and required shipments from Outer Bluegrass counties; barley malt came from Canada, and hops arrived from brokers in Lexington and Cincinnati. Most grain was shipped in sacks. New mechanical equipment often proved unreliable or unsuited for its application, necessitating ad hoc repairs. The distillery operation included a large pen where hogs were fed slop.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it